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How Does It Work

Step 1. Pick a Base Model from the Model Catalog​

  • Search the model (e.g., "Llama-3.2-1B" for NLP, "Qwen2-VL-72B" for vision).
  • These models already learned general representations.

Step 2. Launch Fine-tuning​

  • Use selected model to start fine-tuning

Step 3. Push Fine-tuned Model Back to the Hub​

  • After training, you upload your fine-tuned model to the hub.
  • It gets a new version ID and can be shared with collaborators (or kept private).

Step 4. Use Anywhere​

  • Once fine-tuned, you can download the model by SDK.
  • This ensures reproducibility and easy deployment.